Abstract

https://ssrn.com/abstract=2850458
 


 



Group Affiliation and Default Prediction


William H. Beaver


Stanford University

Stefano Cascino


London School of Economics

Maria M. Correia


London School of Economics and Political Science

Maureen F. McNichols


Stanford University

November 9, 2016

Stanford University Graduate School of Business Research Paper No. 16-46

Abstract:     
Using a large sample of business groups from several countries around the world, we show that group information matters for parent and subsidiary default prediction. Group firms typically support each other when in financial distress. Potential group support represents an off-balance sheet asset for the receiving firm and an off-balance sheet liability for the firm offering support. We find that subsidiary information improves parent default prediction over and above group-level consolidated information possibly because intra-group exposures are netted out upon consolidation. Moreover, we document that the improvements in parent default prediction are decreasing in the extent of parent-country financial reporting transparency which suggests that within-group information matters most when the consolidated financial statements are expected to be of lower quality. We also show that parent and other group-firms’ default risk exhibits predictive power for subsidiary default. Lastly, we find that within-group information explains cross-sectional variation in CDS spreads. Taken together, our findings contribute to prior literature on default prediction and have direct relevance to investors, credit-rating agencies and accounting regulators.

Number of Pages in PDF File: 82

Keywords: Default prediction, Business groups, Consolidation, Financial reporting transparency, Credit spreads

JEL Classification: G12, G14, G15, G33, M41


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Date posted: October 12, 2016 ; Last revised: November 10, 2016

Suggested Citation

Beaver, William H. and Cascino, Stefano and Correia, Maria M. and McNichols, Maureen F., Group Affiliation and Default Prediction (November 9, 2016). Stanford University Graduate School of Business Research Paper No. 16-46. Available at SSRN: https://ssrn.com/abstract=2850458 or http://dx.doi.org/10.2139/ssrn.2850458

Contact Information

William H. Beaver
Stanford University ( email )
655 Knight Way
Stanford, CA 94305-5015
United States
650-723-4409 (Phone)
650-725-6152 (Fax)

Stefano Cascino
London School of Economics ( email )
Department of Accounting
Houghton Street
London, WC2A 2AE
United Kingdom
+44 (0)20 7955 6457 (Phone)
+44 (0)20 7955 7420 (Fax)
Maria M. Correia (Contact Author)
London School of Economics and Political Science ( email )
Houghton St
London, London WC2A 2AE
United Kingdom

Maureen F. McNichols
Stanford University ( email )
655 Knight Way
Stanford, CA 94305-5015
United States
650-723-0833 (Phone)
650-725-7979 (Fax)

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